[Verse 1] Every AI system needs a guiding hand Structure and oversight across the land Governance committees set the tone Ethics officers won't work alone Model risk managers watch each phase Building trust in these digital days [Chorus] Framework first, then assess the risk Catalog models, make it systematic Structure, policy, audit trail AI governance cannot fail Ready your org from ground to sky For responsible AI [Verse 2] Risk registers document each threat Impact assessments help us not forget Define your appetite, set the line Model validation by design SR eleven dash seven guides the way Monitoring models every day [Chorus] Framework first, then assess the risk Catalog models, make it systematic Structure, policy, audit trail AI governance cannot fail Ready your org from ground to sky For responsible AI [Bridge] Third-party vendors need review SLAs and audit rights too Map to SOC two, ISO standards Twenty-seven-oh-one, forty-two-oh-one CMMC alignment, documentation strong Evidence collection all along [Verse 3] Acceptable use for every team Employee guidelines, clear and clean Lifecycle management, start to end Continuous monitoring, risks to mend Charter drafted, template made Organizational readiness displayed [Chorus] Framework first, then assess the risk Catalog models, make it systematic Structure, policy, audit trail AI governance cannot fail Ready your org from ground to sky For responsible AI [Outro] Build the capabilities, take control Responsible AI is the ultimate goal Governance frameworks light the way For AI success every day
โ Unit 6.4 โ AI Privacy & Data Governance | Unit 7.1 โ AI in Healthcare โ